• Digital Contents
• /
• no.1 s.152
• /
• pp.60-66
• /
• 2006

한 때 명사 앞에 'e'를 붙여 신기술임을 표시하곤 했다. e메일ㆍe북ㆍe러닝ㆍe비즈니스ㆍe스포츠등 많은 부분에 접두어처럼 e를 붙여 'Electronic' 개념의 첨단성을 강조했고, 이러한 유행은 'e편한 세상','e스테이션'등의 브랜드명으로도 발전했다. 이러한 e의 유행 패턴을 넘겨받은게 접두어'u'이다. 이제 u라는 접두어가 붙은 용어를 쉽게 접할 수 있다.u코리아에서부터 시작하여, u시티ㆍu북ㆍu러닝ㆍu환경ㆍu교통ㆍu행정등 대부분의 일반명사 앞에 u를 붙여서 사용하는 현상을 보게 된다. 굳이 부연 설명을 하지 않더라도 이 u가 유비쿼터스(Ubiquitous)의 머리글자 u를 칭하고 있음은 일반적 상식이 되어있다. 정말 u세상이 온 것일까? 이번 모바일 핫토크에서는 2006년 첫 주제로 유비쿼터스 세상에 대해 다루고자 한다.

• Journal of Internet Computing and Services
• /
• v.12 no.1
• /
• pp.99-110
• /
• 2011

Mobile environments rapidly changing and digital convergence widely employed, mobile devices including smart phones have been playing a critical role that changes users' lifestyle in the areas of entertainments, businesses and information services. The various services using mobile devices are developing to meet the personal needs of users in the mobile environments. Especially, an LBS (Location-Based Service) is combined with other services and contents such as augmented reality, mobile SNS (Social Network Service), games, and searching, which can provide convenient and useful services to mobile users. In this paper, we design and implement the prototype of mobile personal assistant (PA) agents. Our personal assistant agent helps users do some tasks by hiding the complexity of difficult tasks, performing tasks on behalf of the users, and reflecting the preferences of users. To identify user's preferences and provide personalized services, clustering and classification algorithms of data mining are applied. The clusters of the log data using clustering algorithms are made by measuring the dissimilarity between two objects based on usage patterns. The classification algorithms produce user profiles within each cluster, which make it possible for PA agents to provide users with personalized services and contents. In the experiment, we measured the classification accuracy of user model clustered using clustering algorithms. It turned out that the classification accuracy using our method was increased by 17.42%, compared with that using other clustering algorithms.

• Journal of Korea Game Society
• /
• v.11 no.1
• /
• pp.47-57
• /
• 2011

Mobile based location-based service can normally be classified into four categories according to their dimensions of their screen layout: map-based, bird-eye view based, photo-based, and video-based. Specifically, video-based layout system combining AR technology has a appealing factor to users through the reality-based presence but normally requires sophisticated real-time image matching algorithms to represent the system. This paper provides a new location-based service by introducing mirror world to resolve the problem and implements its prototype. The proposed service does not need such algorithm and will effectively be useful for users to get the reality of the presence for any locations which is regardless of a user's real location.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.11 no.10
• /
• pp.1886-1893
• /
• 2007

More efforts are required to efficiently operate and manage measured data in AMR(Automatic Meter Reading) and manual meter reading that have not become com:[m yet. As customer complaints increase the most appropriate way of finding solutions is precise and reliable metering of data which should be able to maximize customer satisfactions. In this parer, we designed a data mining technique that recommended the reliability of measured data on manual meter reading and a mCRM(Mobile CRM) system that expanded CRM(Customer Relationship Management). We will propose a mCRM in which the system compares the patterns of customer's using data. W the measured data gathered is outside of a similarity measure(maximum and minimum), it enhances the reliability of measured data by managing this fact in mobile for each customers. We will proposed a system where the mCRM provides customers with reliability and efficiency when related enterprises cannot establish AMR because of the burden of extra costs.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.5
• /
• pp.1-8
• /
• 2013

Smartphone enables diverse applications to be used in mobile environments. In spite of the high performance of smartphones, battery life has become one of the major constraints in mobility. Therefore, power efficiency of the smartphone is one of the most important factors in determining the efficiency of the smartphone. In this paper, in order to analyze the power efficiency of the smartphone, we have various experiments according to several configuration parameters such as processor, display and OS. We also use diverse applications. As a result, power consumption is dependent on the processor complexity and display size. However, power consumption shows the unpredictable pattern according to the OS. Smartphone using android OS consumes high power when internet and image processing applications are executed, but It consumes low power when music and camera applications are executed. In contrary, smartphone based on iOS consumes high power when game and internet applications are executed but it consumes low power when camera and processing applications are executed. In general, smartphone using iOS is more power efficient than smartphone based on android OS, because smartphone using iOS is optimized in the perspective of the hardware and OS.